AI News Archive: May 31, 2026 — Part 4
Sourced from 500+ daily AI sources, scored by relevance.
- Data centers need water. Texas oil companies think they have the solution.
Data centers need water. Texas oil companies think they have the solution. Houston Chronicle
- I went looking for the AI weed vape that gives you Bitcoin for smoking
Gudtrip is the most ridiculous AI/crypto/weed product to ever touch the internet. Could it possibly be real?
Score: 09🌐 MovesMay 31, 2026https://www.theverge.com/ai-artificial-intelligence/933916/ai-powered-crypto-cannabis-vape - Erin Brockovich takes aim at data center secrecy
Environmental activist Erin Brockovich has a new mission.
Score: 08🌐 MovesMay 31, 2026https://techcrunch.com/2026/05/31/erin-brockovich-takes-aim-at-data-center-secrecy/ - I asked AI how to stop home mold — it told me to ‘Burp’ my house
I asked AI how to stop home mold — it told me to ‘Burp’ my house Tom's Guide
Score: 08🌐 MovesMay 31, 2026https://www.tomsguide.com/ai/i-asked-ai-how-to-stop-home-mold-it-told-me-to-burp-my-house - “Siamo tutti in un mare di guai, noi e i nostri figli. Hanno rubato la mia immagine con l’AI per chiedere soldi, molte persone sono cadute nella truffa”: la denuncia di Safiria Leccese
Safiria Leccese fa ancora fatica ad accettare di essere finita al centro di un raggiro. Uno dei volti al femminile più apprezzati di Mediaset è apparsa in un video diffuso in rete in cui all'interno del "suo" studio di Super partes -- il pr ... (https://incidentdatabase.ai/cite/1508#7332)
- Safiria Leccese Caught in Deepfake Loan Scam
Artificial Intelligence has struck her as well. Safiria Leccese has also fallen victim to a scam---one that involved her personally, without her knowledge. She is mortified about it. In an interview with the weekly magazine Nuovo, the Media ... (https://incidentdatabase.ai/cite/1508#7333)
Score: 00🌐 MovesMay 31, 2026https://www.ilmessaggero.it/en/safiria_leccese_caught_in_deepfake_loan_scam-9565595.html - NavAnalytica
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- Decoding Hierarchical Cell-Cell Communication in Spatial Multi-Omics with CellSTIC
Cell-cell communication helps to coordinate tissue development, homeostasis, and immune responses, but identifying signaling interactions within intact tissues remains difficult. Although single-cell transcriptomics has enabled systematic inference of ligand-receptor interactions, dissociation disrupts spatial context and limits the identification of bona fide local signaling and region-specific communication programs. Spatial transcriptomics and spatial multi-omics offer the opportunity to study communication in situ, but current approaches often either incompletely integrate heterogeneous modalities or return long lists of ligand-receptor pairs that are difficult to interpret mechanistically. Here, we present CellSTIC, a framework for resolving cell-cell communication in spatial multi-omics as structured communication programs grounded in tissue architecture. Rather than treating ligand-receptor interactions as isolated candidates, CellSTIC integrates multimodal evidence from local tissue neighborhoods and organizes communication into a hierarchical semantic representation that remains traceable to the underlying molecular interactions. This design enables communication to be analyzed not only at the level of individual ligand-receptor pairs but also across broader functional modules that can be compared across tissues, regions, and biological states. Across multimodal simulations with ground-truth annotations and multiple real tissue datasets, CellSTIC robustly recovered spatially coherent communication structure and spatial domains. It further resolved communication programs across three complementary dimensions: hierarchical organization in immune microenvironments, spatially restricted signaling in complex brain architecture, and developmental and regenerative remodeling across embryonic and post-injury contexts. Together, these results establish CellSTIC as a general framework for linking tissue architecture to intercellular signaling programs in situ and for generating mechanistic hypotheses from spatial multi-omic data.
- Instance-Wise Contrastive Graph Neural Network Enables the Discovery of Novel Aedes aegypti Larvicidal Compounds
Aedes aegypti remains a major arboviral vector, making larval control a critical strategy to reduce mosquito populations. However, resistance to commercial larvicides has reduced the long-term effectiveness of current interventions, reinforcing the need for new compounds with improved potency and selectivity. Here, we present an instance-wise contrastive graph neural network (GNN) framework to accelerate the discovery of novel larvicidal compounds. The model was trained on a curated dataset of 556 organic compounds organized into LC50-derived multitask classification thresholds and integrated Transformer-inspired graph learning with whole-molecule and fragment-level contrastive regularization. This model achieved strong held-out performance, with global AUC = 0.95 {+/-} 0.01, PR-AUC = 0.93 {+/-} 0.01, and MCC = 0.77 {+/-} 0.03, outperforming conventional machine learning and graph-based baselines. Predictive uncertainty analysis and counterfactual maps further supported the interpretation of threshold-sensitive predictions and substructural contribution patterns. The model was applied to screen 1.3 million compounds, resulting in 10 candidates for experimental validation. Three compounds showed measurable larvicidal activity against A. aegypti larvae. Among them, LC-79 emerged as the most promising hit, with 2-day and 5-day LC50 values of 0.24 {micro}g/mL (0.66 {micro}M) and 0.05 {micro}g/mL (0.13 {micro}M), respectively, an IE50 of 0.06 {micro}g/mL (0.16 {micro}M), and rapid larval mortality (LT50 = 1.10 days at 1 {micro}g/mL). LC-79 also showed no measurable acute toxicity to Daphnia magna at the highest tested concentration [EC50-48h >43 {micro}g/mL (>119 {micro}M)], resulting in selectivity indices >180 and >915 relative to its 2-day and 5-day LC50 values. Overall, this study demonstrates that contrastive graph learning can move beyond retrospective larvicide modeling to experimentally validated hit discovery, identifying LC-79 as a potent and preliminarily selective acylthiourea larvicide candidate for further mechanism-of-action, resistance, and semi-field evaluation.
- Electrically programmable picoscale phototransduction of a newly discovered microbial rhodopsin
Human retina can achieve single-photon sensitivity through specialised photoreceptors that convert light into electrical signals via phototransduction. Among microbial light-sensitive proteins, proteorhodopsins stand out for their intrinsic light-driven ion transport and spectral tunability, making them promising candidates for bio-inspired photonic devices. A central challenge for acellular integration, however, is the fragility of most bacterial rhodopsins under extreme conditions. Here, we exploit the exceptional robustness of TARA76, a microbial rhodopsin that retains structural integrity even upon complete dehydration, to demonstrate its functional reconstitution in an artificial black lipid membrane within a biocompatible microfluidic platform. By recording light-induced ionic currents with picoampere sensitivity across a broad range of pH, illumination power, electrolyte composition, and applied voltages, we establish TARA76 as a high-performance photoelectric transducer in a fully acellular environment. Strikingly, we uncover a strong and previously unreported dependence of the photocurrent on Na ions, which appears to play a key structural and functional role in stabilising the protein's active conformation. Furthermore, we demonstrate that the orientation of TARA76 within the artificial membrane can be externally controlled by applying a defined electric field during bilayer formation, enabling deterministic tuning of photocurrent directionality. Together, these results establish a robust and miniaturisable bio-photonic platform with direct implications for quantum light sensing, neuromorphic bioelectronics, and next-generation artificial retinal interfaces.
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- SpaceX, OpenAI fundraising sparks investor hunt for Asia’s next AI winners beyond chipmaking giants
Fresh fundraising and potential IPOs by OpenAI, SpaceX and Anthropic are driving investors to seek new AI opportunities across Asia. Bloomberg reported that firms involved in components, servers, packaging, connectivity and energy infrastructure could benefit from the next wave of AI spending.
- US AI companies' fundraise plans spur bets on future Asian winners
Fundraising by OpenAI, SpaceX and Anthropic is fuelling investor bets that the next winners of the AI boom could emerge from Asia's supply chain
- SpaceX, OpenAI windfall fuels bets on next-wave Asian AI winners
SpaceX, OpenAI windfall fuels bets on next-wave Asian AI winners The Straits Times
- US takes step to halt Nvidia AI chip shipments to Chinese overseas subsidiaries
The US Department of Commerce on Sunday moved to close a year-old potential loophole it had created that may have led companies to export the world’s most advanced chips – such as Nvidia’s most sophisticated Rubin and Blackwell processors, as well as AMD’s MI350x – to Chinese entities located outside China. The unexpected guidance suggests the United States’ best artificial intelligence chips may have been making their way to the subsidiaries of Chinese AI firms based in places such as Malaysia...
- U.S. takes step to halt Nvidia AI chip shipments to Chinese firms outside China
U.S. takes step to halt Nvidia AI chip shipments to Chinese firms outside China The Japan Times
- U.S. to stop companies sending Nvidia AI chips to Chinese firms outside China
It is unclear how many chips have been exported in the year that the Trump administration left the door open
- US to halt Nvidia AI chip shipments to Chinese firms outside China
The unexpected guidance suggests the United States' best AI chips may have been making their way to the subsidiaries of Chinese AI firms based in places like Malaysia.
- AI firm MiniMax prepares for mainland China listing after shares surge in Hong Kong
MiniMax Group, the Chinese artificial intelligence model company, has officially kicked off plans to sell shares in mainland China. This offers onshore investors access to AI players beyond chipmakers and completes a dual-listing status in addition to Hong Kong. The Shanghai-headquartered company signed an agreement with Citic Securities on Friday, hiring the brokerage to help prepare for a sale of yuan-denominated shares. While other details on the listing are scant, it is widely expected that...
- China’s MiniMax begins domestic IPO preparations
The company also said it had more than 1 million users of its AI-based enterprise services.
- SoftBank plans 75 billion euro AI data center buildout in France
SoftBank plans to build AI data centers with up to 5 gigawatts of capacity in France, the company's largest AI infrastructure investment in Europe, at up to 75 billion euros. By 2031, facilities worth 45 billion euros are set to go up at three sites in northern France. SoftBank's mega announcements keep stacking up worldwide, but many projects have yet to materialize. The article SoftBank plans 75 billion euro AI data center buildout in France appeared first on The Decoder .
- SoftBank plans up to €75 billion investment in French AI centers
SoftBank plans up to €75 billion investment in French AI centers The Japan Times
- SoftBank to spend up to $87 billion on French AI data centers — country offers ample nuclear grid that US sites lack
SoftBank carries over $130 billion in debt and took a $40 billion bridge loan in March to fund its latest OpenAI investment.
- SoftBank vows to spend $87.5 billion on AI centers in France
Japanese tech investor SoftBank will spend 75 billion euros (US$87.5 billion) on artificial intelligence infrastructure in France, its founder Masayoshi Son told a French newspaper in an interview released Saturday.
- Japan’s SoftBank to Spend Billions on AI Data Centers in France
Japan’s SoftBank to Spend Billions on AI Data Centers in France Barron's
- Adani says US legal issues ‘behind us’, bets on AI-driven infrastructure boom
Adani Group is now accelerating investments across energy, transport, logistics and digital infrastructure, positioning itself to benefit from rising demand for artificial intelligence-led growth, Gautam Adani said
- ‘I’m cancelling’: As Microsoft’s GitHub Copilot moves to token-based billing, developers fear rising AI costs
‘I’m cancelling’: As Microsoft’s GitHub Copilot moves to token-based billing, developers fear rising AI costs
- Meta is rumored to be working on an AI pendant, and smart glasses different to what we've seen before
We've got a couple of Meta hardware rumors to sort through, and AI is of course central to them.
- Keep Forgetting What You Said? Meta Could Be Working on a Transcribing AI Pendant
Keep Forgetting What You Said? Meta Could Be Working on a Transcribing AI Pendant PCMag Australia
- Anthropic Hits $965B Valuation, Overtakes OpenAI as Most Valuable AI Startup
Anthropic valued at $965B, surpassing OpenAI
- I'm an iPhone user who switches to Gemini with Android Auto in the car - why I don't regret it
Gemini can help with a variety of tasks when behind the wheel. All you need is an Android phone and a car with Android Auto.
- After the AI binge, companies balk at soaring bills
After the AI binge, companies balk at soaring bills The Straits Times
- After the AI binge, companies are baulking at soaring bills
After the AI binge, companies are baulking at soaring bills The Straits Times
- After the AI binge, companies balk at soaring bills
After the AI binge, companies balk at soaring bills
- Australian researchers teach brain cells to play Doom video game
Australian researchers teach brain cells to play Doom video game The Japan Times
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
As the Pentagon pushes for battlefield AI, some military leaders urge caution Toronto Star
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
As the Pentagon pushes for battlefield AI, some military leaders urge caution San Francisco Chronicle
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
The Trump administration is pushing to use artificial intelligence in the U.S. military even as it faces calls for caution from some companies and military leaders.
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
As the Pentagon pushes for battlefield AI, some military leaders urge caution Houston Chronicle
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
The Trump administration is pushing to use artificial intelligence in the U.S. military even as it faces calls for caution from some companies and military leaders
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
As the Pentagon pushes for battlefield AI, some military leaders urge caution Austin American-Statesman
- As the Pentagon pushes for battlefield AI, some military leaders urge caution
As the Pentagon pushes for battlefield AI, some military leaders urge caution
- LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions
LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions Carnegie Mellon University Computer Science Department
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